Repository logo
 
Publication

Sistema de Rastreabilidade de Madeira: Uma abordagem baseada em mecanismos semânticos para integração e validação dos dados das atividades de exploração florestal

2024Master thesis Open access
Simple item page
datacite.subject.fosInformáticapt_PT
dc.contributor.advisorSousa, Cristóvão Dinis
dc.contributor.authorSilva, Hugo Daniel Martins
dc.date.accessioned2024-12-17T11:47:30Z
dc.date.available2024-12-17T11:47:30Z
dc.date.issued2024
dc.date.submitted2024
dc.description.abstractIn recent years, growing concerns about deforestation have driven the need to monitor the origin and history of the wood arriving at factories. This has led to the adoption of traceability systems in the forestry sector. However, many of these systems are still manual and paper-based, which makes them susceptible to errors and falsification. With the advancement of Industry 4.0 and the digitalisation of forestry operations, there is an opportunity for the digital transformation of traceability. However, the digitalisation process faces challenges at various levels, one of the main issues being that the information sources are dispersed among the various stakeholders in the forest supply chain, resulting in inaccurate and hard-to-access data, which hinders a comprehensive analysis of the wood’s journey. In this context, the present work proposes a traceability system that integrates data from the various stages encompassing forestry exploitation, from the forest to the factory, ensuring a continuous flow of information. The system is based on an ontology that, in addition to formalising the knowledge necessary for traceability, allows for the identification of errors and inconsistencies through reasoning mechanisms, thereby ensuring the transparency and reliability of the collected records. Furthermore, based on the instantiated ontology, Graph Machine Learning techniques are used to train a model capable of predicting missing data and identifying implicit semantic relations. The approach was evaluated in the context of the Floresta 4.0 project and showed promising results in terms of its effectiveness. In addition to addressing the needs of traceability, it detected inconsistencies that had not previously been identified by domain experts.pt_PT
dc.identifier.tid203760069pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/26895
dc.language.isoporpt_PT
dc.subjectOntologiapt_PT
dc.subjectRastreabilidadept_PT
dc.subjectGraph Machine Learningpt_PT
dc.subjectCadeia de Abastecimento Florestalpt_PT
dc.subjectTransparênciapt_PT
dc.titleSistema de Rastreabilidade de Madeira: Uma abordagem baseada em mecanismos semânticos para integração e validação dos dados das atividades de exploração florestalpt_PT
dc.typemaster thesis
dspace.entity.typePublication
rcaap.rightsopenAccesspt_PT
rcaap.typemasterThesispt_PT
thesis.degree.nameMestrado em Engenharia Informáticapt_PT

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
DM_HugoSilva_MEI_2024.pdf
Size:
2.75 MB
Format:
Adobe Portable Document Format
Description:
DM_HugoSilva_MEI_2024
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

ESTG - DM - Engenharia Informática